Characterization and diagnosis of fibromyalgia based on fatigue analysis with sEMG signals

Author

Sarmiento, J.F. ; Bastos, T.F. ; Botti, A.B. ; Elias, A. ; Frizera, A. ; Hubner, M. ; Silva, I.V.

Author_Institution

Programa de Pos-Grad. em Biotecnologia RENORBIO, Univ. Fed. do Espirito Santo, Vitoria, Brazil

fYear

2012

fDate

9-11 Jan. 2012

Firstpage

1

Lastpage

4

Abstract

Fibromyalgia (FM) is a chronic musculoskeletal disturbance that poses major challenges for diagnostic procedures. It is marked by a constellation of symptoms, such as widespread pain, chronic fatigue, sleep disturbances, osteoarthritis, among others. This work is a pilot study that aims to validate a diagnostic tool by analyzing sEMG signals of specific muscles during the performance of isotonic tasks. This work is a pilot study that aims to validate a diagnostic protocol with people affected by fibromyalgia. The objective was to indentify the behavior of five fatigue indicators: RMS, ARV, MNF, MDF and IAF, at 30%, 60% and 80% of MCV with a cutoff parameter k of 60%.

Keywords

biomechanics; diseases; electromyography; fatigue; medical signal processing; neurophysiology; sleep; ARV; EMG signals; IAF; MDF; MNF; RMS; chronic fatigue; chronic musculoskeletal disturbance; cutoff parameter k; fatigue analysis; fibromyalgia diagnosis; isotonic tasks; muscles; Electromyography; Fatigue; Frequency modulation; Goniometers; Muscles; Pain; Protocols; Fatigue; Fibromyalgia; indicator; protocol; sEMG;

fLanguage

English

Publisher

ieee

Conference_Titel

Biosignals and Biorobotics Conference (BRC), 2012 ISSNIP

Conference_Location

Manaus

Print_ISBN

978-1-4673-2476-2

Type

conf

DOI

10.1109/BRC.2012.6222159

Filename

6222159